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Found 3 papers, 2 papers with code
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
In this paper, we present the challenge setup and assessment of the state-of-the-art deep learning methods proposed by the participants during the challenge.
Ranked #1 on
Action Triplet Recognition
on CholecT50 (Challenge)
(using extra training data)
Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis
For many applications in the field of computer assisted surgery, such as providing the position of a tumor, specifying the most probable tool required next by the surgeon or determining the remaining duration of surgery, methods for surgical workflow analysis are a prerequisite.
Temporal coherence-based self-supervised learning for laparoscopic workflow analysis
To achieve this, methods for surgical workflow analysis are crucial.
